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Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques
BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer. Very few researches have been carried out for the automatic diagnosis of OSCC using artificial intelligence techniques. Though biopsy is the ultimate test for cancer diagnosis, analyzing a biopsy report is a v...
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| Publicado no: | Cancer Rep (Hoboken) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7941561/ https://ncbi.nlm.nih.gov/pubmed/33026718 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cnr2.1293 |
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